Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Assessment of deep neural networks for the diagnosis of benign and malignant skin neoplasms in comparison with dermatologists: A retrospective validation study
55
Zitationen
11
Autoren
2020
Jahr
Abstract
Our algorithm could diagnose skin tumors with nearly the same accuracy as a dermatologist when the diagnosis was performed solely with photographs. However, as a result of limited data relevancy, the performance was inferior to that of actual medical examination. To achieve more accurate predictive diagnoses, clinical information should be integrated with imaging information.
Ähnliche Arbeiten
Dermatologist-level classification of skin cancer with deep neural networks
2017 · 13.425 Zit.
Tumor Angiogenesis: Therapeutic Implications
1971 · 10.108 Zit.
Improved Survival with Vemurafenib in Melanoma with BRAF V600E Mutation
2011 · 7.666 Zit.
Final Version of 2009 AJCC Melanoma Staging and Classification
2009 · 4.558 Zit.
Technical Details of Intraoperative Lymphatic Mapping for Early Stage Melanoma
1992 · 4.401 Zit.